Features
Annotation Tool with OCR Parsing
High Accuracy OCR Annotation
OCR or Optical Character Recognition refers to computer vision problems that require digital or hand-written text images to be converted to machine-readable text.
This form of machine-readable text can be processed, stored, edited, and used to train machine learning models.
To annotate text from digital and hand-written images in a perfect layout, there needs to be a text annotation tool with an OCR feature.
Combining computer vision techniques and natural language processing, the OCR feature of UBIAI allows classification annotation, relation extraction, and NER directly on native scanned images, pictures, and native PDFs.
How Does UBIAI’s OCR Annotation Works?
On the left panel, you will see the parsed text, and on the right panel, you will see the original image.
UBIAI’s tool offers annotation on both panels. The right panel having the original image gives guidance regarding the document layout.The left panel also allows annotation of relations. With that, it also helps in relation extraction, NER, and classification annotation.
One of the most significant advantages of UBIAI’s text annotation tool is that it allows rule-based matching, model auto-annotations, and dictionary annotations, even for OCR documents.
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Ihsan S.
Machine Learning Engineer
Jetson W.
Data Architect
Jasmeet K.
Data Scientist
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